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various updates

This commit is contained in:
Andrew MacIntyre 2003-06-09 08:15:14 +00:00
parent 23ec1dcf78
commit fae8953a59
1 changed files with 10 additions and 14 deletions
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24
PC/os2emx/README.os2emx
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@ -68,7 +68,7 @@ development tools. His patches against the Python v1.5.2 source
distribution have become the core of this port, and without his efforts
this port wouldn't exist. Andy's port also appears to have been
compiled with his port of gcc 2.95.2 to EMX, which I have but have
chosen not to use for the binary distribution of this port (see item 21
chosen not to use for the binary distribution of this port (see item 16
of the "YOU HAVE BEEN WARNED" section below).
Previous Python port releases by me:-
@ -84,7 +84,11 @@ Previous Python port releases by me:-
- v2.2 on December 24, 2001;
- v2.2.1c2 on March 31, 2002 (not uploaded to archive sites);
- v2.2.1 on April 14, 2002;
- v2.2.2 on October 24, 2002.
- v2.2.2 on October 24, 2002;
- v2.3a2 on March 2, 2003 (not uploaded to archive sites);
- v2.3b1 on April 27, 2003 (not uploaded to archive sites);
- v2.2.3c1 on May 28, 2003 (not uploaded to archive sites);
- v2.2.3 on June 1, 2003.
It is possible to have these earlier ports still usable after installing
this port - see the README.os2emx.multiple_versions file, contributed by
@ -545,18 +549,10 @@ error.
I have not attempted to compile Python with any version of gcc prior to
v2.8.1.
If you compile Python with pgcc 2.95, changing the optimisation from -O2 to
-O3 is worthwhile. While more aggressive optimisation is supported by gcc,
a lot of benchmarking indicates that Python's performance is impeded by
optimisation settings beyond just -O2 (-O3 for pgcc 2.95), at least on my
hardware (AMD Athlon 1.4GHz, VIA C3 800MHz).
If you wish to compile Python with gcc 3.2.1, you will need to modify the
Makefile to compile Modules/_sre.c with either the -Os (recommended) or
-O options, with the global optimisation set to -O2 or -O3 (not much
difference between these with this compiler). Alternatively, you could
change the global optimisation instead with a performance drop of 6-7%
compared to the special-case approach.
While gcc supports more aggressive optimisation than I use, a lot of
benchmarking indicates that Python's performance is at best only
marginally improved by more aggressive optimisation, at least on my
hardware (AMD Athlon 1.4GHz, VIA C3 800MHz).
17. os.spawnv() and os.spawnve() expose EMX's library routines rather
than use the emulation in os.py.